The University of Southampton
University of Southampton Institutional Repository
Warning ePrints Soton is experiencing an issue with some file downloads not being available. We are working hard to fix this. Please bear with us.

The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia: design, results and future prospects

The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia: design, results and future prospects
The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia: design, results and future prospects
The impact of many unfavorable childhood traits or diseases, such as low birth weight and mental disorders, is not limited to childhood and adolescence, as they are also associated with poor outcomes in adulthood, such as cardiovascular disease. Insight into the genetic etiology of childhood and adolescent traits and disorders may therefore provide new perspectives, not only on how to improve wellbeing during childhood, but also how to prevent later adverse outcomes. To achieve the sample sizes required for genetic research, the Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia were established. The majority of the participating cohorts are longitudinal population-based samples, but other cohorts with data on early childhood phenotypes are also involved. Cohorts often have a broad focus and collect(ed) data on various somatic and psychiatric traits as well as environmental factors. Genetic variants have been successfully identified for multiple traits, for example, birth weight, atopic dermatitis, childhood BMI, allergic sensitization, and pubertal growth. Furthermore, the results have shown that genetic factors also partly underlie the association with adult traits. As sample sizes are still increasing, it is expected that future analyses will identify additional variants. This, in combination with the development of innovative statistical methods, will provide detailed insight on the mechanisms underlying the transition from childhood to adult disorders. Both consortia welcome new collaborations. Policies and contact details are available from the corresponding authors of this manuscript and/or the consortium websites.
0393-2990
279-300
Middeldorp, Christel M.
292a4087-e399-49ca-ba4e-88ddc393ddc9
Felix, Janine F.
fcd2dff7-ebdf-40b3-8714-eeba5fa4818a
Mahajan, Anubha
73f61a0d-2b8d-41bb-8c26-b117d65fe40b
Mccarthy, Mark I.
ff42236d-bc18-406f-898b-d10ce8d0bab2
Holloway, John
4bbd77e6-c095-445d-a36b-a50a72f6fe1a
EArly Genetics and Lifecourse Epidemiology (EAGLE) consortium
Early Growth Genetics (EGG) Consortium
Middeldorp, Christel M.
292a4087-e399-49ca-ba4e-88ddc393ddc9
Felix, Janine F.
fcd2dff7-ebdf-40b3-8714-eeba5fa4818a
Mahajan, Anubha
73f61a0d-2b8d-41bb-8c26-b117d65fe40b
Mccarthy, Mark I.
ff42236d-bc18-406f-898b-d10ce8d0bab2
Holloway, John
4bbd77e6-c095-445d-a36b-a50a72f6fe1a

EArly Genetics and Lifecourse Epidemiology (EAGLE) consortium and Early Growth Genetics (EGG) Consortium (2019) The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia: design, results and future prospects. European Journal of Epidemiology, 34 (3), 279-300. (doi:10.1007/s10654-019-00502-9).

Record type: Article

Abstract

The impact of many unfavorable childhood traits or diseases, such as low birth weight and mental disorders, is not limited to childhood and adolescence, as they are also associated with poor outcomes in adulthood, such as cardiovascular disease. Insight into the genetic etiology of childhood and adolescent traits and disorders may therefore provide new perspectives, not only on how to improve wellbeing during childhood, but also how to prevent later adverse outcomes. To achieve the sample sizes required for genetic research, the Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia were established. The majority of the participating cohorts are longitudinal population-based samples, but other cohorts with data on early childhood phenotypes are also involved. Cohorts often have a broad focus and collect(ed) data on various somatic and psychiatric traits as well as environmental factors. Genetic variants have been successfully identified for multiple traits, for example, birth weight, atopic dermatitis, childhood BMI, allergic sensitization, and pubertal growth. Furthermore, the results have shown that genetic factors also partly underlie the association with adult traits. As sample sizes are still increasing, it is expected that future analyses will identify additional variants. This, in combination with the development of innovative statistical methods, will provide detailed insight on the mechanisms underlying the transition from childhood to adult disorders. Both consortia welcome new collaborations. Policies and contact details are available from the corresponding authors of this manuscript and/or the consortium websites.

Text
Middeldorp 2019 Article The Early Growth Genetics EGG And EA - Version of Record
Available under License Creative Commons Attribution.
Download (873kB)

More information

Accepted/In Press date: 25 January 2019
e-pub ahead of print date: 18 March 2019
Published date: 18 March 2019

Identifiers

Local EPrints ID: 429302
URI: http://eprints.soton.ac.uk/id/eprint/429302
ISSN: 0393-2990
PURE UUID: b8d07e1d-e219-48b9-ac40-fffd057a3bf4
ORCID for John Holloway: ORCID iD orcid.org/0000-0001-9998-0464

Catalogue record

Date deposited: 26 Mar 2019 17:30
Last modified: 26 Nov 2021 02:40

Export record

Altmetrics

Contributors

Author: Christel M. Middeldorp
Author: Janine F. Felix
Author: Anubha Mahajan
Author: Mark I. Mccarthy
Author: John Holloway ORCID iD
Corporate Author: EArly Genetics and Lifecourse Epidemiology (EAGLE) consortium
Corporate Author: Early Growth Genetics (EGG) Consortium

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×